Which feature of the Einstein Trust Layer helps to ensure AI outputs do not share inappropriate content?

The feature of the Einstein Trust Layer that helps to ensure AI outputs do not share inappropriate content is Toxicity Detection. This feature plays a crucial role in maintaining the integrity and safety of AI-generated content. It employs algorithms to analyze the text generated by AI models for potentially harmful or inappropriate language, which is essential in preventing offensive or harmful outputs that could arise during customer interactions or other engagements. By identifying and filtering out toxic language, organizations can better align AI communications with their brand values and ensure a more respectful and safe experience for users and customers.

Data Masking is focused on protecting sensitive information by obscuring data, while Grounding in CRM Data helps ensure that AI responses are accurate and contextually relevant by providing real-time access to verified information within a company's CRM system. Secure Data Retrieval is essential for safeguarding data access and ensuring that information is retrieved securely. While these features are important for different aspects of AI functionality, it is Toxicity Detection that specifically addresses the challenge of ensuring that AI outputs are appropriate and free from harmful content.